Optimization Research on the Application Strategy of Electric Power Big Data in Ecological Environment Regulation Based on Bayesian Model
With the rapid development of society and the accelerated industrialization,environmental pollution has become a prominent issue.The effective regulation and control of environmental pollution is an urgent task.Currently,monitoring and predicting environmental pollution accurately and timely remains challenging under existing environmental regulation methods.The study employs the Bayesian model to examine electricity usage in wastewater companies for monitoring and forecasting environmental pollution within a region.The electricity consumption data from sewage enterprises in northwest China were selected for empirical analysis.Comparison between predicted results and actual environmental pollution data demonstrate the method's effective and practical application,providing a novel methodology for more refined environmental protection and regulation.
bayesian modelelectricity big dataenvironmental regulationpredictionpptimization strategy
NETL
NSTL
万方数据
